Comparison of DataNucleus with Derby embedded vs DataNucleus with H2 embedded

Each of the following tables focuses on a specific database operation, where the last table presents average results comparison.

Speed comparison of JPA database persistence operations (normalized score, higher is better)

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	4.6	19.2	2.8	8.0	3.7	13.6
Element Collection Test	2.4	6.6	1.6	2.8	2.0	4.7
Inheritance Test	4.6	15.6	2.7	4.4	3.7	10.0
Indexing Test	7.6	24.4	4.8	11.8	6.2	18.1
Graph (Binary Tree) Test	1.6	9.2	1.4	6.2	1.5	7.7
Multithreading Test	8.6	34.9	3.3	7.1	5.9	21.0
All Tests	4.9	18.3	2.8	6.7	3.8	12.5

The results above show that in general DataNucleus with H2 embedded is much more efficient than DataNucleus with Derby embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with Derby embedded database (3.8) to the normalized speed of DataNucleus with H2 embedded database (12.5) reveals that in these tests, DataNucleus with H2 embedded is 3.3 times faster than DataNucleus with Derby embedded.

A large performance gap has been detected when using graphs of objects with small transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (1.6) to the normalized speed of DataNucleus with H2 embedded database (9.2) reveals that in that case, DataNucleus with H2 embedded is 5.7 times faster than DataNucleus with Derby embedded.

Speed comparison of JPA database retrieval operations (normalized score, higher is better)

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	6.8	13.2	14.9	13.5	10.9	13.3
Element Collection Test	5.4	6.4	7.6	8.9	6.5	7.7
Inheritance Test	8.8	12.2	14.8	12.7	11.8	12.4
Indexing Test	9.2	8.1	14.1	16.5	11.6	12.3
Graph (Binary Tree) Test	9.9	10.6	15.8	20.9	12.9	15.8
Multithreading Test	11.9	13.3	11.5	9.9	11.7	11.6
All Tests	8.7	10.6	13.1	13.7	10.9	12.2

The results above show that in general DataNucleus with H2 embedded is slightly more efficient than DataNucleus with Derby embedded in retrieving JPA entity objects from the database.

Speed comparison of JPA database query operations (normalized score, higher is better)

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	39.1	4.7	7.5	1.4	23.3	3.1
Element Collection Test	46.0	5.0	6.7	2.4	26.3	3.7
Inheritance Test	7.7	3.8	3.8	1.6	5.7	2.7
Indexing Test	0.053	0.0041	8.0	1.8	4.0	0.91
Multithreading Test	failed	1.2	failed	0.79	failed	1.0
All Tests	23.2	3.0	6.5	1.6	14.8	2.3

DataNucleus with Derby embedded has failed in 2 tests (see exceptions).

The results above show that in general DataNucleus with Derby embedded is much more efficient than DataNucleus with H2 embedded in executing the tested JPA queries. Comparing the normalized speed of DataNucleus with H2 embedded database (2.3) to the normalized speed of DataNucleus with Derby embedded database (14.8) reveals that in these tests, DataNucleus with Derby embedded is 6.4 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with H2 embedded database (0.0041) to the normalized speed of DataNucleus with Derby embedded database (0.053) reveals that in that case, DataNucleus with Derby embedded is 12.9 times faster than DataNucleus with H2 embedded.

Speed comparison of JPA database update operations (normalized score, higher is better)

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	4.0	10.0	3.8	3.9	3.9	6.9
Element Collection Test	3.7	7.6	4.5	3.9	4.1	5.8
Inheritance Test	4.4	9.4	4.8	4.4	4.6	6.9
Indexing Test	5.2	10.6	4.2	5.9	4.7	8.2
Graph (Binary Tree) Test	2.7	5.9	1.5	3.7	2.1	4.8
Multithreading Test	failed	failed	failed	failed	failed	failed
All Tests	4.0	8.7	3.7	4.4	3.9	6.5

DataNucleus with Derby embedded has failed in 2 tests (see exceptions). DataNucleus with H2 embedded has failed in 2 tests (see exceptions).

The results above show that in general DataNucleus with H2 embedded is more efficient than DataNucleus with Derby embedded in updating JPA entity objects in the database.

A large performance gap has been detected when using simple basic entities with small transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (4.0) to the normalized speed of DataNucleus with H2 embedded database (10.0) reveals that in that case, DataNucleus with H2 embedded is 2.5 times faster than DataNucleus with Derby embedded.

Speed comparison of JPA database removal operations (normalized score, higher is better)

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	3.5	4.2	1.3	1.3	2.4	2.8
Element Collection Test	1.9	4.9	1.6	1.6	1.7	3.2
Inheritance Test	2.4	4.0	1.3	1.3	1.9	2.7
Indexing Test	6.6	7.5	1.9	1.9	4.3	4.7
Graph (Binary Tree) Test	0.81	5.6	0.93	4.1	0.87	4.8
Multithreading Test	failed	failed	failed	failed	failed	failed
All Tests	3.0	5.2	1.4	2.0	2.2	3.6

DataNucleus with Derby embedded has failed in 2 tests (see exceptions). DataNucleus with H2 embedded has failed in 2 tests (see exceptions).

The results above show that in general DataNucleus with H2 embedded is more efficient than DataNucleus with Derby embedded in deleting JPA entity objects from the database.

A large performance gap has been detected when using graphs of objects with small transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (0.81) to the normalized speed of DataNucleus with H2 embedded database (5.6) reveals that in that case, DataNucleus with H2 embedded is 6.9 times faster than DataNucleus with Derby embedded.

Comparison of database storage efficiency (normalized score, higher is better)

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	53.3	27.0	53.3	27.0	53.3	27.0
Element Collection Test	42.6	22.4	42.6	22.4	42.6	22.4
Inheritance Test	48.1	27.0	48.1	27.0	48.1	27.0
Indexing Test	62.3	31.6	63.3	32.1	62.8	31.9
Graph (Binary Tree) Test	13.6	20.0	10.2	15.0	11.9	17.5
Multithreading Test	52.0	33.9	8.0	9.2	30.0	21.5
All Tests	45.3	27.0	37.6	22.1	41.5	24.6

The results above show that in general DataNucleus with Derby embedded is more efficient than DataNucleus with H2 embedded in using disk space.

Comparison of JPA/Database speed - the averages (normalized score, higher is better)

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded	DataNucleus Derby embedded	DataNucleus H2 embedded
Basic Person Test	11.6	10.3	6.1	5.6	8.8	7.9
Element Collection Test	11.9	6.1	4.4	3.9	8.1	5.0
Inheritance Test	5.6	9.0	5.5	4.9	5.5	6.9
Indexing Test	5.7	10.1	6.6	7.6	6.2	8.9
Graph (Binary Tree) Test	3.7	7.8	4.9	8.7	4.3	8.3
Multithreading Test	10.3	16.5	7.4	5.9	8.8	11.2
All Tests	8.0	9.6	5.7	6.0	6.9	7.8

The results above show that in general DataNucleus with H2 embedded is slightly more efficient than DataNucleus with Derby embedded in performing JPA database operations.

A large performance gap has been detected when using graphs of objects with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with Derby embedded database (3.7) to the normalized speed of DataNucleus with H2 embedded database (7.8) reveals that in that case, DataNucleus with H2 embedded is 2.1 times faster than DataNucleus with Derby embedded.

JPA Performance Benchmark (JPAB)